AI support for language learning
Webinar
Ore: 14.30-17.00
Piattaforma Collaborate Ultra
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Programma
Roman YANGARBER
Department of Digital Humanities, University of Helsinki (UH)
We discuss how recent advances in language technology and educational data science
can be leveraged to create machines that can help people learn effectively. We present
our approach – Revita – which tries to simulate a good teacher’s assistant, by continually
assessing the learner’s state and progress. An important aspect of our approach is
letting the user learn from any content – arbitrary authentic texts, chosen by the learners
themselves. The system tries to collect data about the learning process – about typical
patterns of mistakes, paths of progress, etc. – to continually improve the teaching ability
of the system.
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